Regression II. Development through regression

As shown in our previous paper (‘Regression I. Experimental approaches to regression’, JAP, 65, 2, 345-65), the common mechanism of regression can be described as reversible dedifferentiation, which is understood as a relative increase of the proportion of low-differentiated (older) systems in actualized experience. Experimental data show that regression following disease (chronic tension headache) is followed by adaptation and an increase in system differentiation in that experience domain which contains systems responsible for that adaptation. The results of mathematical modelling support the idea that reversible dedifferentiation can be one of the mechanisms for increasing the effectiveness of adaptation through learning. Reversible dedifferentiation, which is phenomenologically described as regression, is a general mechanism for restructuring the organism-environment interactions in situations where behaviours that were effective in the past become ineffective. Reversible dedifferentiation has evolved as a component of adaptation when new behaviours are formed and large-scale modifications in the existing behaviours are required in the face of changes in the external and/or internal environment. Thus, the authors believe that this article provides evidence for Jung’s view that regression is not only a ‘return’ to past forms of thinking, affects and behaviour, but that regressive processes provide a significant impetus for psychological growth and development.     

Belief in a Just World and Employee Voice Behavior: The Mediating Roles of Perceived Efficacy and Risk

Abstract

In this research, we hypothesized that employees’ belief in a just world (BJW) would be positively related to their voice behavior, i.e., the expression of ideas or opinions with the intention of engendering organizational improvement or change, and that this relation would be mediated by perceived voice efficacy and perceived voice risk. To test these hypotheses, we collected self-reported data from employees in two different countries: China (N?=?313) and Germany (N?=?190). The results revealed a positive association between BJW and employee voice behavior in both samples. The two-mediator model was confirmed in the Chinese sample, while only perceived voice efficacy played a mediating role in the German sample. Possible reasons for these differences may be related to differences in cultural dimensions and education levels between the samples. The findings emphasize the importance of bolstering employees’ belief in justice and the organizational climate, which influence perceived voice efficacy and risk, as means to increase organizational voice behavior.     

A preliminary evaluation of treatment duration on the resurgence of destructive behavior

Quantitative models of resurgence (e.g., Behavioral Momentum Theory, Resurgence as Choice) suggest that resurgence is partly a function of the duration of extinction exposure, with longer histories of extinction producing less resurgence. This prediction is supported by some laboratory research and has been partially supported by clinical translations that did not isolate the effects of extinction exposure prior to testing for resurgence. The degree to which different histories of extinction impact the likelihood of treatment relapse in therapeutic applications of differential reinforcement is of great interest to the clinical community, including insurance carriers and other financial providers. In the present study, we isolated the effects of extinction history for severe destructive behavior across 6 participants referred for treatment services and examined resurgence of destructive behavior when alternative reinforcement terminated. Our within-subject evaluation showed no difference in the level of resurgence or persistence of destructive behavior following short and long exposures to differential reinforcement with extinction. We discuss our failure to replicate in relation to experimental-design considerations for investigating this and other relapse phenomena in future research with clinical populations.     

Antecedents of fathers’ perception of child behavior at child age 12 months

This study investigates whether fathers’ adverse childhood experiences (ACE) and attachment style reported during pregnancy predict fathers’ perception of child behavior assessed 12 months postpartum, expressed by the Parenting Stress Index (PSI), Child Domain. Prospective fathers (N = 835) were recruited to “The Little in Norway (LiN) study” (Moe & Smith) at nine well-baby clinics in Norway, with data collection composed of five time points during pregnancy and two time points postpartum (6 and 12 months). The main analyses included linear regression, path-analysis modeling, and intraclass correlation based on mixed effects modeling. First, linear regression analyses showed that neither fathers’ ACE nor attachment style significantly predicted perceived child behavior postpartum directly. Furthermore, path analyses showed that ACE and less secure attachment style (especially avoidant attachment) measured early in pregnancy strongly predicted negatively perceived child behavior, mediated by fathers’ mental health symptoms during pregnancy and partner disharmony postpartum. Second, intraclass correlation analyses showed that fathers’ perceived child behavior showed substantial stability between 6 and 12 months postpartum. Family interventions beginning in pregnancy may be most beneficial given that fathers’ early experiences and perceptions of attachment in pregnancy were associated with later partner disharmony and stress.     

Goal-related unethical behaviors and meaning in life: The moderating role of goal state

The process of goal pursuit provides a unique opportunity to investigate real-life psychological implications of unethical behaviors. In two studies, we had participants recall the frequency of engaging in unethical behaviors during goal pursuit and report current experience of negative affect and meaning in life, during different goal states (i.e., ongoing vs. completed). Both studies revealed that meaning in life was negatively associated with unethical behaviors implemented in the process of pursuing a goal only after but not prior to goal completion. Negative affect, however, was positively associated with unethical behavior frequencies in both goal states. The current research helps integrate studies on personal goals and unethical behaviors, and sheds light on the dynamic consequences of engaging in unethical behaviors.     

‘Personality in Its Natural Habitat’ Revisited: A Pooled,Multi-sample Examination of the Relationships Between the Big Five Personality Traits and Daily Behaviour and Language Use

Past research using the Electronically Activated Recorder (EAR), an observational ambulatory assessment method for the real-world measurement of daily behaviour, has identified several behavioural manifestations of the Big Five domains in a small college sample (N = 96). With the use of a larger and more diverse sample of pooled data from N = 462 participants from a total of four community samples who wore the EAR from 2 to 6 days, the primary purpose of the present study was to obtain more precise and generalizable effect estimates of the Big Five–behaviour relationships and to re-examine the degree to which these relationships are gender specific. In an extension of the original article, the secondary purpose of the present study was to examine if the Big Five–behaviour relationships differed across two facets of each Big Five domain. Overall, while several of the behavioural manifestations of the Big Five were generally consistent with the trait definitions (replicating some findings from the original article), we found little evidence of gender differences (not replicating a basic finding from the original article). Unique to the present study, the Big Five–behaviour relationships were not always comparable across the two facets of each Big Five domain. © 2020 European Association of Personality Psychology     

Searching for Prosociality in Qualitative Data: Comparing Manual,Closed-Vocabulary,and Open-Vocabulary Methods

Although most people present themselves as possessing prosocial traits, people differ in the extent to which they actually act prosocially in everyday life. Qualitative data that were not ostensibly collected to measure prosociality might contain information about prosocial dispositions that is not distorted by self-presentation concerns. This paper seeks to characterise charitable donors from qualitative data. We compared a manual approach of extracting predictors from participants' self-described personal strivings to two automated approaches: A summation of words predefined as prosocial and a support vector machine classifier. Although variables extracted by the support vector machine predicted donation behaviour well in the training sample (N = 984), virtually, no variables from any method significantly predicted donations in a holdout sample (N = 496). Raters' attempts to predict donations to charity based on reading participants' personal strivings were also unsuccessful. However, raters' predictions were associated with past charitable involvement. In sum, predictors derived from personal strivings did not robustly explain variation in charitable behaviour, but personal strivings may nevertheless contain some information about trait prosociality. The sparseness of personal strivings data, rather than the irrelevance of open-ended text or individual differences in goal pursuit, likely explains their limited value in predicting prosocial behaviour. © 2020 European Association of Personality Psychology     

To Challenge the Morning Lark and the Night Owl: Using Smartphone Sensing Data to Investigate Day–Night Behaviour Patterns

For decades, day–night patterns in behaviour have been investigated by asking people about their sleep–wake timing, their diurnal activity patterns, and their sleep duration. We demonstrate that the increasing digitalization of lifestyle offers new possibilities for research to investigate day–night patterns and related traits with the help of behavioural data. Using smartphone sensing, we collected in vivo data from 597 participants across several weeks and extracted behavioural day–night pattern indicators. Using this data, we explored three popular research topics. First, we focused on individual differences in day–night patterns by investigating whether ‘morning larks’ and ‘night owls’ manifest in smartphone-sensed behavioural indicators. Second, we examined whether personality traits are related to day–night patterns. Finally, exploring social jetlag, we investigated whether traits and work weekly day–night behaviours influence day–night patterns on weekends. Our findings highlight that behavioural data play an essential role in understanding daily routines and their relations to personality traits. We discuss how psychological research can integrate new behavioural approaches to study personality.     

Differential association between food craving,food addiction and eating-related characteristics in persons at risk for eating disorders

IntroductionFood craving is a key feature of eating disorders, but its association with medical and psychological outcome might depend on the type of eating disorder.ObjectivesThis study investigated the factors associated with food craving in individuals at risk for DSM-5 eating disorder.MethodSeventy-six women were recruited from a non-clinical population (n = 372) based on their positive screening (EDDS, QEWP-R) for binge eating disorder (BED; n = 29), anorexia nervosa (AN; n = 28) or bulimia nervosa (BN; n = 19). They completed self-administered questionnaires assessing food craving (FCQ- T-r), Body Mass Index (BMI), eating behaviour (DEBQ), food addiction (YFAS 2.0), and anxiety and depressive symptoms (HADS).ResultsIndividuals at risk for BED or BN had higher food craving than those at risk for AN. Food craving was associated with BMI only in the BED group. Food craving was positively correlated with external eating in all groups, and with emotional eating in the AN and BED groups and correlated with anxiety only in BN. Food addiction prevalence was higher in the BN group than in the AN or BED groups (respectively 94.7%, 46.4% and 65.5%; p < 0.01). In this non-clinical population, we demonstrated that food craving was differentially associated with BMI and eating-related characteristics according to the type of eating disorder.ConclusionThis suggests that food craving is a transdiagnostic dimension that should be differentially targeted depending on the type of eating disorder; future studies should test this hypothesis in clinical populations.